The table below provides operational metrics for 10 international clinical trial sites participating in a multi-center biopharmaceutical study:
| Site ID | Therapeutic Area | Patients Enrolled | Drop-out Rate (%) | Average Treatment Duration (Days) |
|---|---|---|---|---|
| Site A | Oncology | 42 | 12.5 | 180 |
| Site B | Immunology | 56 | 8.0 | 120 |
| Site C | Oncology | 30 | 15.0 | 225 |
| Site D | Neurology | 64 | 6.25 | 90 |
| Site E | Oncology | 78 | 10.0 | 150 |
| Site F | Immunology | 48 | 12.5 | 135 |
| Site G | Oncology | 50 | 14.0 | 165 |
| Site H | Neurology | 32 | 9.375 | 105 |
| Site I | Oncology | 60 | 5.0 | 195 |
| Site J | Immunology | 40 | 10.0 | 150 |
Statement: For the subset of clinical trial sites with a drop-out rate of at least 10.0%, the median Average Treatment Duration exceeds the median Patients Enrolled by more than 110 days.
Answer: Answer
Answer
True. The median Average Treatment Duration for the filtered subset of 6 sites is 157.5 days, and the median Patients Enrolled is 45 patients. The difference of 112.5 days exceeds 110 days.
The statement is correct (True) because filtering for sites with a drop-out rate of at least yields exactly 6 sites. The median of Patients Enrolled across these 6 sites is , and the median of Average Treatment Duration is . The difference is strictly greater than 110.
Step-by-Step Solution
Key Concept
Descriptive Statistics Interpretation on Filtered Even-Count Subsets